The application of artificial neural network algorithm in pathological diagnosis of gastrointestinal malignant tumors has become a research hotspot. In the previous studies, the algorithm research mainly focused on the model development based on convolutional neural networks, while only a few studies used the combination of convolutional neural networks and recurrent neural networks. The research contents included classical histopathological diagnosis and molecular typing of malignant tumors, and the prediction of patient prognosis by utilizing artificial neural networks. This article reviews the research progress on artificial neural network algorithm in the pathological diagnosis and prognosis prediction of digestive tract malignant tumors.
消化道恶性肿瘤相关的人工神经网络诊断研究成为人工智能研究热点领域。研究工具主要集中在基于卷积神经网络的模型开发上，少部分采用卷积神经网络与循环神经网络联用的方式；研究内容方面则聚焦于基于人工神经网络实现经典组织病理学诊断、利用人工神经网络进行肿瘤分子分型诊断以及预测患者预后情况。本文综述了消化道恶性肿瘤病理诊断及预后预测中人工神经网络算法的相关研究。.
Keywords: Algorithm; Artificial neural network; Digestive tract malignant tumor; Pathological diagnosis; Prognosis prediction; Review.